HyperAI超神経
ホーム
ニュース
最新論文
チュートリアル
データセット
百科事典
SOTA
LLMモデル
GPU ランキング
学会
検索
サイトについて
日本語
HyperAI超神経
Toggle sidebar
サイトを検索…
⌘
K
ホーム
SOTA
Defect Detection
Defect Detection On Codexglue Devign
Defect Detection On Codexglue Devign
評価指標
Accuracy
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
Accuracy
Paper Title
Repository
PLBART + GFSA
62.96
Graph Convolutions Enrich the Self-Attention in Transformers!
CodeT5-small + GFSA
63.69
Graph Convolutions Enrich the Self-Attention in Transformers!
CodeT5-small
63.25
Graph Convolutions Enrich the Self-Attention in Transformers!
RoBERTa + GFSA
64.39
Graph Convolutions Enrich the Self-Attention in Transformers!
PLBART
62.63
Graph Convolutions Enrich the Self-Attention in Transformers!
CodeT5
65.78
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
CodeT5-base
63.51
Graph Convolutions Enrich the Self-Attention in Transformers!
CodeBERT + GFSA
64.49
Graph Convolutions Enrich the Self-Attention in Transformers!
RoBERTa
62.88
Graph Convolutions Enrich the Self-Attention in Transformers!
CodeBERT
64.31
Graph Convolutions Enrich the Self-Attention in Transformers!
CodeBERT
62.08
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
CodeT5-base + GFSA
64.75
Graph Convolutions Enrich the Self-Attention in Transformers!
0 of 12 row(s) selected.
Previous
Next